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News

General
Naveen Duhan.
Nov 18, 2023
Naveen Duhan Successfully Defends His PhD Dissertation
Naveen Duhan successfully defended his PhD dissertation on November 18th, 2023. His dissertation was titled "Computational Prediction of Host-Pathogen Protein-Protein Interactions". He was advised by Dr. Rakesh Kaundal Congratulations Naveen!
Naveen Duhan.
Dec 28, 2022
Naveen Duhan Awarded Outstanding Doctoral Student Researcher
With 11 publications and being the nominee from the PSC department as an outstanding student, Naveen has been awarded 2022-23 Outstanding Doctoral Student Researcher for the College of Agriculture and Applied Sciences (CAAS). This is a very competitive reward and he competed among all the applicants from the other departments in CAAS.
Mitchell Millerberg.
Aug 8, 2022
Mitchell Millerberg Completes Summer Internship
As Mitchell finishes his summer internship with us in the Animal Dairy & Veterinary Sciences department, we celebrate with pizza and soda pop. We had a short interview with him to ask him how his experience in the lab was.
Simardeep Kaur.
Aug 1, 2022
Fulbright Scholar Joins the Lab: Simardeep Kaur
Miss Simardeep Kaur is a Nehru Doctoral Fulbright fellow at KAABiL Laboratory, USU. Her doctoral thesis focuses on deciphering the microRNA related modulations in contrasting rice genotypes under drought stress. As a Fulbright fellow she will be learning bioinformatic tools and softwares for comprehensive analysis of the data generated from her molecular biology related work from wet-lab experiments. She will be improving her skills to handle larger data set like those for methylome, transcriptome, lncRNAs, miRNAs, validation techniques and their analysis so that she can integrate molecular biology with bioinformatics to develop the drought tolerant agricultural crops.
Mitchell Millerberg.
June 1, 2022
New Intern: Mitchell Millerberg
Mitchell is an undergraduate student at Utah Valley University majoring in Biotechnology. He aspires to go into software engineering where he can solve biological problems with technology. During the summer of 2022, Mitchell will be working as an intern at Utah State University in the Animal Dairy & Veterinary Sciences department. During Mitchell's free time he enjoys camping and studying map topography.
Science
RSLpred-2.0 web page.
July 4, 2025
RSLpred2: An Integrated Web Server for the Annotation of Rice Proteome Subcellular Localization Using Deep Learning
Oryza sativa, commonly known as rice, is a widely studied model organism in plant biology. Understanding the subcellular localization of proteins within rice cells is crucial for unraveling their functions and deciphering complex cellular processes. Subcellular localization provides valuable insights into protein trafficking, interactions, and regulatory mechanisms, ultimately aiding in the identification of potential targets for agricultural and biotechnological applications.
PRGminer web page.
June 2, 2025
PRGminer: harnessing deep learning for the prediction of resistance genes involved in plant defense mechanisms
A powerful deep learning tool for identifying and classifying plant resistance genes (R-genes) in plant genomes.
AtSubp-2.0 web page.
February 9, 2025
AtSubP‐2.0: An integrated web server for the annotation of Arabidopsis proteome subcellular localization using deep learning
The AtSubP-2.0 model utilizes a multi-layered architecture with a combination of convolutional neural networks (CNNs) and recurrent neural networks (RNNs). It takes protein sequence inputs and generates predictions for localization to various cellular compartments, including the nucleus, cytoplasm, plasma membrane, endoplasmic reticulum, Golgi apparatus, mitochondria, peroxisomes, and vacuoles.
HPIpy web page.
November 20, 2024
HPIpy: A Host-Pathogen Protein-Protein Interactions Prediction Tool.
HPIpy leverages computational algorithms to predict accurate and reliable interactions between host and pathogen proteins.
ProFeatX Logo.
May 31, 2022
ProFeatX: A New Tool to Extract Protein Features
ProFeatX is a tool to help you extract protein features in a fast and efficient way. It contains 32 encodings to help facilitate this process. By extracting these features, you can use them as input for machine learning methods.
Media
June 12, 2023 USU Today
Fulbright, NAHEP Doctoral Students Bring Big Data and Ideas to USU Bioinformatics Lab
The Utah State University Bioinformatics Facility recently hosted two graduate students funded by prestigious scholarships.
March 1, 2022 Cultivate
Bioinformatics: Big Data Pushing the Boundaries of Human Knowledge
View the cultivate magazine for more info.
February 1, 2022 USU Today
Students Prepare to Present Research at State Capitol
A group of undergraduates will share their research findings at the annual Research on Capitol Hill.
January 10, 2022 USU Today
USU Bioinformatics Expert Hopes Big Data Lab Will Revolutionize More Fields of Research
Rakesh Kaundal's Contributions to Bioinformatics Push the Boundaries of Human Knowledge
December 14, 2021 USU Today
USU Student Uses Undergraduate Research Grant to Train AI for Weeding
The artificial intelligence revolution is coming, and there is nowhere to hide — at least, not for weeds.